Lead QA

We are looking for an experienced Lead QA Engineer to lead quality assurance initiatives across enterprise SaaS applications. The ideal candidate will be responsible for driving end-to-end QA activities, combining manual and automation testing with AI-driven testing practices to ensure high-quality, scalable software releases. This leadership role requires close collaboration with Product, Engineering, and DevOps teams to establish quality standards, improve testing processes, and deliver reliable products in a fast-paced Agile environment. Key Responsibilities Lead end-to-end Quality Assurance activities across the Software Development Lifecycle (SDLC). Design, develop, and execute manual, automation, regression, integration, API, and end-to-end test cases. Build, enhance, and maintain automation frameworks using Python-based testing tools. Collaborate with Product, Engineering, and DevOps teams to improve software quality and release reliability. Leverage AI-powered testing tools to improve automation efficiency, test coverage, and productivity. Develop comprehensive test strategies, test plans, quality metrics, and testing documentation. Perform SQL database validation and Elasticsearch data verification. Lead defect triage sessions, perform root cause analysis, and participate in release quality reviews. Monitor test execution, identify quality risks, and recommend mitigation strategies. Present QA case studies, drive process improvements, and promote QA best practices across teams. Mentor QA engineers and foster a culture of continuous quality improvement. Key Skills & Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 10+ years of experience in Quality Assurance within SaaS or Product-based environments. Strong expertise in both Manual Testing and Automation Testing. Hands-on experience with AI-powered testing tools such as Testim, Mabl, Functionize, ACCELQ, TestRigor, Applitools, Tosca AI, GitHub Copilot, or similar platforms. Proficiency in Selenium, PyTest, Postman, SQL, and Elasticsearch. Good understanding of Python and Vue.js from a QA and testing perspective. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Knowledge of API testing, database testing, regression testing, and performance testing concepts. ISTQB, CSTE, or equivalent QA certification is preferred. Strong analytical, troubleshooting, and problem-solving abilities. Excellent communication, stakeholder management, leadership, and mentoring skills. Experience working in Agile/Scrum environments and leading QA teams. Apply by sending your CV to careers@cliqhr.co.in